Sparse Quantization for Patch Description. - Xavier Boix; Michael Gygli; Gemma Roig; Luc Van Gool (CVPR, 2013)

The Interestingness of Images. - Michael Gygli; Helmut Grabner; Hayko Riemenschneider; Fabian Nater; Luc Van Gool (ICCV, 2013)

Creating Summaries from User Videos. - Michael Gygli; Helmut Grabner; Hayko Riemenschneider; Luc Van Gool (ECCV (7), 2014)

Navigation using special buildings as signposts. - Julien Weissenberg; Michael Gygli; Hayko Riemenschneider; Luc Van Gool (MapInteract@GIS, 2014)

Video summarization by learning submodular mixtures of objectives. - Michael Gygli; Helmut Grabner; Luc Van Gool (CVPR, 2015)

ETH-CVL @ MediaEval 2015: Learning Objective Functions for Improved Image Retrieval. - Sai Srivatsa Ravindranath; Michael Gygli; Luc Van Gool (MediaEval, 2015)

Video2GIF: Automatic Generation of Animated GIFs from Video. - Michael Gygli; Yale Song; Liangliang Cao (CVPR, 2016)

Predicting When Saliency Maps are Accurate and Eye Fixations Consistent. - Anna Volokitin; Michael Gygli; Xavier Boix (CVPR, 2016)

Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition. - Naoya Takahashi; Michael Gygli; Beat Pfister; Luc Van Gool (INTERSPEECH, 2016)

ETH-CVL @ MediaEval 2016: Textual-Visual Embeddings and Video2GIF for Video Interestingness. - Arun Balajee Vasudevan; Michael Gygli; Anna Volokitin; Luc Van Gool (MediaEval, 2016)

Analyzing and Predicting GIF Interestingness. - Michael Gygli; Mohammad Soleymani 001 (ACM Multimedia, 2016)

Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection. - Naoya Takahashi; Michael Gygli; Beat Pfister; Luc Van Gool (CoRR, 2016)

Predicting When Eye Fixations Are Consistent. - Anna Volokitin; Michael Gygli; Xavier Boix (AAAI Spring Symposia, 2017)

PathTrack: Fast Trajectory Annotation with Path Supervision. - Santiago Manen; Michael Gygli; Dengxin Dai; Luc Van Gool (ICCV, 2017)

Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs. - Michael Gygli; Mohammad Norouzi 002; Anelia Angelova (ICML, 2017)

MediaEval 2017 Predicting Media Interestingness Task. - Claire-Hélène Demarty; Mats Sjöberg; Bogdan Ionescu; Thanh-Toan Do; Michael Gygli; Ngoc Q. K. Duong (MediaEval, 2017)

Query-adaptive Video Summarization via Quality-aware Relevance Estimation. - Arun Balajee Vasudevan; Michael Gygli; Anna Volokitin; Luc Van Gool (ACM Multimedia, 2017)

VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. - Kenneth Vanhoey; Carlos Eduardo Porto de Oliveira; Hayko Riemenschneider; András Bódis-Szomorú; Santiago Manén; Danda Pani Paudel; Michael Gygli; Nikolay Kobyshev; Till Kroeger; Dengxin Dai; Luc Van Gool (SIGGRAPH Talks, 2017)

Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks. - Michael Gygli (CBMI, 2018)

PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation. - Ana Garcia del Molino; Michael Gygli (ACM Multimedia, 2018)

Interactive Video Object Segmentation in the Wild. - Arnaud Benard; Michael Gygli (CoRR, 2018)

AENet: Learning Deep Audio Features for Video Analysis. - Naoya Takahashi; Michael Gygli; Luc Van Gool (IEEE Trans. Multim., 2018)

Fast Object Class Labelling via Speech. - Michael Gygli; Vittorio Ferrari (CVPR, 2019)

Natural Vocabulary Emerges from Free-Form Annotations. - Jordi Pont-Tuset; Michael Gygli; Vittorio Ferrari (CoRR, 2019)

Continuous Adaptation for Interactive Object Segmentation by Learning from Corrections. - Theodora Kontogianni; Michael Gygli; Jasper R. R. Uijlings; Vittorio Ferrari (ECCV (16), 2020)

Training Neural Networks to Produce Compatible Features. - Michael Gygli; Jasper R. R. Uijlings; Vittorio Ferrari (CoRR, 2020)

Efficient Object Annotation via Speaking and Pointing. - Michael Gygli; Vittorio Ferrari (Int. J. Comput. Vis., 2020)

Towards Reusable Network Components by Learning Compatible Representations. - Michael Gygli; Jasper R. R. Uijlings; Vittorio Ferrari (AAAI, 2021)

Factors of Influence for Transfer Learning Across Diverse Appearance Domains and Task Types. - Thomas Mensink; Jasper R. R. Uijlings; Alina Kuznetsova; Michael Gygli; Vittorio Ferrari (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CycleCL: Self-supervised Learning for Periodic Videos. - Matteo Destro; Michael Gygli (WACV, 2024)